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Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9565, kappa: 0.9517, kb_relative_information_score: 1742.7336, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.957, predictive_accuracy: 0.9565, prior_entropy: 3.3219, recall: 0.9565, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3607,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set irish
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9699, kappa: 0.9389, kb_relative_information_score: 410.2635, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9711, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3312,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.4107, kappa: 0.1238, kb_relative_information_score: 128.4763, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4691, predictive_accuracy: 0.4745, prior_entropy: 1.5392, recall: 0.4745, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.964,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6208, kappa: 0.5128, kb_relative_information_score: 4026.3241, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6393, predictive_accuracy: 0.6364, prior_entropy: 2.1936, recall: 0.6364, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.8104,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set one-hundred-plants-shape
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.5204, kappa: 0.5543, kb_relative_information_score: 934.4579, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5482, predictive_accuracy: 0.5588, prior_entropy: 6.6439, recall: 0.5588, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.8573,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.7838, kappa: 0.5853, kb_relative_information_score: 29371.4086, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.797, predictive_accuracy: 0.8168, prior_entropy: 1.2185, recall: 0.8168, relative_absolute_error: 0.6112, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.7295,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set KDDCup09_churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.8924, kappa: 0.013, kb_relative_information_score: -21050.7791, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.9085, predictive_accuracy: 0.9268, prior_entropy: 0.3787, recall: 0.9268, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.9708,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set ada_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8455, kappa: 0.57, kb_relative_information_score: 1766.0432, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.847, predictive_accuracy: 0.8531, prior_entropy: 0.8085, recall: 0.8531, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.7536,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set one-hundred-plants-shape
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, kappa: 0.4962, kb_relative_information_score: 960.3826, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5013, prior_entropy: 6.6439, recall: 0.5013, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8547,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9463, kappa: 0.941, kb_relative_information_score: 5146.7141, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9466, predictive_accuracy: 0.9464, prior_entropy: 3.4594, recall: 0.9464, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2955,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8652, kappa: 0.7002, kb_relative_information_score: 11209.2957, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8678, predictive_accuracy: 0.8679, prior_entropy: 0.9355, recall: 0.8679, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6537,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 391.9627, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4334,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set gina_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9374, kappa: 0.8748, kb_relative_information_score: 2590.6742, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9375, predictive_accuracy: 0.9374, prior_entropy: 0.9998, recall: 0.9374, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.4576,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set one-hundred-plants-texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7875, kappa: 0.7972, kb_relative_information_score: 1114.7038, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.8059, predictive_accuracy: 0.7992, prior_entropy: 6.6438, recall: 0.7992, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.7399,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9449, kappa: 0.8843, kb_relative_information_score: 3621.1764, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 0.9674, recall: 0.945, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.434,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set irish
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 465.2235, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.2326,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9878, kappa: 0.9865, kb_relative_information_score: 10567.4941, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9879, predictive_accuracy: 0.9878, prior_entropy: 3.3208, recall: 0.9878, relative_absolute_error: 0.078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1934,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9194, kappa: 0.9161, kb_relative_information_score: 6832.8888, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9201, predictive_accuracy: 0.9193, prior_entropy: 4.7004, recall: 0.9193, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.4168,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8858, kappa: 0.4164, kb_relative_information_score: 324.7646, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8842, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.7706,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set SpeedDating
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.8222, kappa: 0.3217, kb_relative_information_score: 813.9439, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8159, predictive_accuracy: 0.8323, prior_entropy: 0.6457, recall: 0.8323, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.35, root_relative_squared_error: 0.9436,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8042, kappa: 0.605, kb_relative_information_score: 1576.9598, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7576,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.7694, kappa: 0.5579, kb_relative_information_score: 27240.5539, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.7899, predictive_accuracy: 0.8075, prior_entropy: 1.2185, recall: 0.8075, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.7498,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set irish
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.6379, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.2224,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9603, kappa: 0.9023, kb_relative_information_score: 27167.3179, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9604, predictive_accuracy: 0.9606, prior_entropy: 0.863, recall: 0.9606, relative_absolute_error: 0.2358, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4013,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7633, kappa: 0.512, kb_relative_information_score: 181.0257, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7663, predictive_accuracy: 0.7667, prior_entropy: 0.9826, recall: 0.7667, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8045,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.854, kappa: 0.7055, kb_relative_information_score: 429.6771, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8556, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6715,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.8687, kappa: 0.2338, kb_relative_information_score: -228.6947, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8611, predictive_accuracy: 0.8791, prior_entropy: 0.478, recall: 0.8791, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.9786,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set qsar-biodeg
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8589, kappa: 0.6811, kb_relative_information_score: 542.1557, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6782,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set KDDCup09_upselling
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.9437, kappa: 0.537, kb_relative_information_score: 5330.7668, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9467, predictive_accuracy: 0.9512, prior_entropy: 0.3794, recall: 0.9512, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.8043,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.7411, kappa: 0.6628, kb_relative_information_score: 567.8073, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7375, predictive_accuracy: 0.747, prior_entropy: 1.9991, recall: 0.747, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.6247,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, kb_relative_information_score: -102.3974, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.1571, number_of_instances: 540, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.957,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.8594, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.9631, predictive_accuracy: 0.963, prior_entropy: 3.3218, recall: 0.963, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1122, root_relative_squared_error: 0.3739,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8593, kappa: 0.6008, kb_relative_information_score: 21772.8287, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.8594, predictive_accuracy: 0.8649, prior_entropy: 0.7939, recall: 0.8649, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.7185,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9486, kappa: 0.9434, kb_relative_information_score: 5034.2567, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9488, predictive_accuracy: 0.9485, prior_entropy: 3.4594, recall: 0.9485, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3207,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set tamilnadu-electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45777.7842, mean_absolute_error: 0, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.2174, root_mean_squared_error: 0.0003, root_relative_squared_error: 0.0016,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8065, kappa: 0.7844, kb_relative_information_score: 1561.1763, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8094, predictive_accuracy: 0.806, prior_entropy: 3.3219, recall: 0.806, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.5438,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9713, kappa: 0.9684, kb_relative_information_score: 5175.2898, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.1653, number_of_instances: 5500, precision: 0.9714, predictive_accuracy: 0.9713, prior_entropy: 3.4594, recall: 0.9713, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.2576,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set higgs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7194, kappa: 0.4369, kb_relative_information_score: 25526.5528, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7195, prior_entropy: 0.9976, recall: 0.7195, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8588,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set irish
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 483.252, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.1418,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.5414, kappa: 0.4507, kb_relative_information_score: 230.6811, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6169, predictive_accuracy: 0.5897, prior_entropy: 2.2629, recall: 0.5897, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.8507,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.2136, kappa: 0.0559, kb_relative_information_score: 56.8109, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2158, predictive_accuracy: 0.2171, prior_entropy: 2.5803, recall: 0.2171, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9953,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9425, kappa: 0.9361, kb_relative_information_score: 1527.6451, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9428, predictive_accuracy: 0.9425, prior_entropy: 3.3219, recall: 0.9425, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.4944,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set synthetic_control
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9418, kappa: 0.93, kb_relative_information_score: 495.5595, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9435, predictive_accuracy: 0.9417, prior_entropy: 2.585, recall: 0.9417, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4237,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set cjs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8577, kappa: 0.8264, kb_relative_information_score: 1729.8206, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.867, predictive_accuracy: 0.8584, prior_entropy: 2.5207, recall: 0.8584, relative_absolute_error: 0.5152, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.6096,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.693, kappa: 0.6633, kb_relative_information_score: 1376.1694, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6991, predictive_accuracy: 0.697, prior_entropy: 3.3219, recall: 0.697, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6499,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9657, kappa: 0.9159, kb_relative_information_score: 29761.259, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3551,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set gina_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9219, kappa: 0.8437, kb_relative_information_score: 2363.0828, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9221, predictive_accuracy: 0.9219, prior_entropy: 0.9998, recall: 0.9219, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5051,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set tamilnadu-electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 45780.2477, mean_prior_absolute_error: 0.0945, number_of_instances: 45781, precision: 1, predictive_accuracy: 1, prior_entropy: 4.2455, recall: 1, root_mean_prior_squared_error: 0.2174,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set synthetic_control
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9766, kappa: 0.972, kb_relative_information_score: 531.2536, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 2.585, recall: 0.9767, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3134,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9668, kappa: 0.9335, kb_relative_information_score: 2182.756, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.967, predictive_accuracy: 0.9668, prior_entropy: 0.9986, recall: 0.9668, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4455,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set micro-mass
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, kappa: 0.856, kb_relative_information_score: 401.632, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8651, prior_entropy: 4.208, recall: 0.8651, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.6397,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set connect-4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8039, kappa: 0.6174, kb_relative_information_score: 33308.9852, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3313, number_of_instances: 67557, precision: 0.8026, predictive_accuracy: 0.825, prior_entropy: 1.2185, recall: 0.825, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.407, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.7074,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.981, kappa: 0.8311, kb_relative_information_score: 2289.5883, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9814, prior_entropy: 0.3333, recall: 0.9814, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.4801,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set cylinder-bands
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.7758, kappa: 0.5379, kb_relative_information_score: 193.8822, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4879, number_of_instances: 540, precision: 0.7859, predictive_accuracy: 0.7815, prior_entropy: 0.9826, recall: 0.7815, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.4939, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7773,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.7638, kappa: 0.3087, kb_relative_information_score: 99.8448, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7628, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.9401,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.7398, kappa: 0.5108, kb_relative_information_score: 255.4084, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8357, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6905,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set SpeedDating
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.839, kappa: 0.3548, kb_relative_information_score: 1244.304, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8437, predictive_accuracy: 0.8617, prior_entropy: 0.6457, recall: 0.8617, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.8455,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.955, kappa: 0.927, kb_relative_information_score: 2849.241, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9555, predictive_accuracy: 0.9549, prior_entropy: 1.4804, recall: 0.9549, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.3408,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set cnae-9
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.7404, kappa: 0.699, kb_relative_information_score: 768.7666, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7616, predictive_accuracy: 0.7324, prior_entropy: 3.1699, recall: 0.7324, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6053,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9822, kappa: 0.9793, kb_relative_information_score: 2231.2942, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9822, predictive_accuracy: 0.9823, prior_entropy: 2.8074, recall: 0.9823, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.191,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set sylva_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9899, kappa: 0.9129, kb_relative_information_score: 12176.1939, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.99, predictive_accuracy: 0.9898, prior_entropy: 0.3338, recall: 0.9898, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.3763,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7397, kappa: 0.4147, kb_relative_information_score: 193.1243, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7445, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8522,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set Bioresponse
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.801, kappa: 0.5988, kb_relative_information_score: 1720.5739, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7601,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set gas-drift
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9901, kappa: 0.9881, kb_relative_information_score: 13535.4485, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.2748, number_of_instances: 13910, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 2.5457, recall: 0.9902, relative_absolute_error: 0.0444, root_mean_prior_squared_error: 0.3707, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1552,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set profb
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.6309, kappa: 0.1467, kb_relative_information_score: 51.3935, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6382, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9792,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set synthetic_control
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9535, kappa: 0.944, kb_relative_information_score: 522.2238, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.955, predictive_accuracy: 0.9533, prior_entropy: 2.585, recall: 0.9533, relative_absolute_error: 0.2216, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.3526,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set one-hundred-plants-shape
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.5202, kappa: 0.5537, kb_relative_information_score: 949.3428, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5443, predictive_accuracy: 0.5581, prior_entropy: 6.6439, recall: 0.5581, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8532,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8568, kappa: 0.5959, kb_relative_information_score: 22544.9631, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.856, predictive_accuracy: 0.8615, prior_entropy: 0.7939, recall: 0.8615, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.7286,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7418, kappa: 0.3617, kb_relative_information_score: 190.7222, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7461, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7952, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8886,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8905, kappa: 0.8685, kb_relative_information_score: 5238.1677, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8913, predictive_accuracy: 0.8941, prior_entropy: 2.4836, recall: 0.8941, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4534,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.5312, kappa: 0.3796, kb_relative_information_score: 1943.2579, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5433, predictive_accuracy: 0.5693, prior_entropy: 2.3005, recall: 0.5693, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.863,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9719, kappa: 0.7014, kb_relative_information_score: 2119.6796, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9729, predictive_accuracy: 0.9744, prior_entropy: 0.3037, recall: 0.9744, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5831,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.7152, kappa: 0.6393, kb_relative_information_score: 518.0348, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7099, predictive_accuracy: 0.7293, prior_entropy: 1.9991, recall: 0.7293, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.6543,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set first-order-theorem-proving
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.6121, kappa: 0.4865, kb_relative_information_score: 2671.855, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6074, predictive_accuracy: 0.6262, prior_entropy: 2.3005, recall: 0.6262, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.8167,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set cjs
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8519, kappa: 0.818, kb_relative_information_score: 2271.2611, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8551, predictive_accuracy: 0.8509, prior_entropy: 2.5207, recall: 0.8509, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4676,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set steel-plates-fault
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9846, kappa: 0.966, kb_relative_information_score: 1496.7337, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9847, predictive_accuracy: 0.9845, prior_entropy: 0.9313, recall: 0.9845, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.3581,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set SpeedDating
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.8336, kappa: 0.3271, kb_relative_information_score: 1173.7286, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.2752, number_of_instances: 8378, precision: 0.8437, predictive_accuracy: 0.8608, prior_entropy: 0.6457, recall: 0.8608, relative_absolute_error: 0.7579, root_mean_prior_squared_error: 0.3709, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.8485,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set adult
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8578, kappa: 0.5989, kb_relative_information_score: 22551.4694, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.3641, number_of_instances: 48842, precision: 0.857, predictive_accuracy: 0.8623, prior_entropy: 0.7939, recall: 0.8623, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4266, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.7264,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9195, kappa: 0.837, kb_relative_information_score: 9356.3045, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9201, predictive_accuracy: 0.9197, prior_entropy: 0.9924, recall: 0.9197, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.546,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.7448, kappa: 0.369, kb_relative_information_score: 193.6603, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7498, predictive_accuracy: 0.763, prior_entropy: 0.8818, recall: 0.763, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8884,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.7056, kappa: 0.6761, kb_relative_information_score: 1466.4209, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7085, predictive_accuracy: 0.7085, prior_entropy: 3.3219, recall: 0.7085, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6296,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.7546, kappa: 0.3953, kb_relative_information_score: 194.6683, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.757, predictive_accuracy: 0.769, prior_entropy: 0.8818, recall: 0.769, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8907,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set gina_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.932, kappa: 0.8639, kb_relative_information_score: 2493.1603, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9323, predictive_accuracy: 0.9319, prior_entropy: 0.9998, recall: 0.9319, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.477,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set one-hundred-plants-texture
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.6829, kappa: 0.6873, kb_relative_information_score: 1207.2164, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.0198, number_of_instances: 1599, precision: 0.688, predictive_accuracy: 0.6904, prior_entropy: 6.6438, recall: 0.6904, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.6743,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 431.2302, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.2735, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.3459,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, kappa: 0.8986, kb_relative_information_score: 575.4263, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.9078, prior_entropy: 3.8572, recall: 0.9078, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.4461,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.699, kappa: 0.6252, kb_relative_information_score: 473.4978, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6963, predictive_accuracy: 0.7187, prior_entropy: 1.9991, recall: 0.7187, relative_absolute_error: 0.5544, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6821,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8984, kappa: 0.8872, kb_relative_information_score: 1692.2009, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8988, predictive_accuracy: 0.8985, prior_entropy: 3.3219, recall: 0.8985, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.4288,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set semeion
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.7035, kappa: 0.6728, kb_relative_information_score: 1108.3008, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.705, predictive_accuracy: 0.7056, prior_entropy: 3.3218, recall: 0.7056, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.6653,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mushroom
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 8092.6426, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.0552,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9584, kappa: 0.9515, kb_relative_information_score: 2095.0443, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.9586, predictive_accuracy: 0.9584, prior_entropy: 2.8074, recall: 0.9584, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.3077,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.196, kappa: 0.0368, kb_relative_information_score: 67.8178, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.1968, predictive_accuracy: 0.2008, prior_entropy: 2.5803, recall: 0.2008, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9977,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7237, f_measure: 0.7485, kappa: 0.26, kb_relative_information_score: 78.1373, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7481, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.9296,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.954, kappa: 0.9489, kb_relative_information_score: 1622.3492, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9543, predictive_accuracy: 0.954, prior_entropy: 3.3219, recall: 0.954, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.4346,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set dresses-sales
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.6006, kappa: 0.1847, kb_relative_information_score: 34.5727, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6187, predictive_accuracy: 0.626, prior_entropy: 0.9816, recall: 0.626, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9701,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.6689, kappa: 0.6311, kb_relative_information_score: 1387.8373, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6784, predictive_accuracy: 0.668, prior_entropy: 3.3219, recall: 0.668, relative_absolute_error: 0.4136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 491.7314, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3198,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.6578, kappa: 0.5622, kb_relative_information_score: 402.9424, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6707, predictive_accuracy: 0.6617, prior_entropy: 2.2629, recall: 0.6617, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.296, root_relative_squared_error: 0.748,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.5371, kappa: 0.2812, kb_relative_information_score: 290.8849, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5369, predictive_accuracy: 0.5438, prior_entropy: 1.5392, recall: 0.5438, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.427, root_relative_squared_error: 0.92,
Scikit-learn Bot 5 years ago
ran flow sklearn.pipeline.Pipeline(colu ... est.RandomForestClassifier)(2) on task Supervised Classification on data set MagicTelescope
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8714, kappa: 0.7139, kb_relative_information_score: 11054.2017, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8743, predictive_accuracy: 0.874, prior_entropy: 0.9355, recall: 0.874, relative_absolute_error: 0.4425, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6386,